Instructions to use HPLT/hplt_bert_base_sl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HPLT/hplt_bert_base_sl with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="HPLT/hplt_bert_base_sl", trust_remote_code=True)# Load model directly from transformers import AutoModelForMaskedLM model = AutoModelForMaskedLM.from_pretrained("HPLT/hplt_bert_base_sl", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fe9015e7c60bb0adb1f7e501ab85efadd98ac5db30aac60c7163c5ebaec25c9c
- Size of remote file:
- 525 MB
- SHA256:
- dace835b0086d07a3c2e3db6a901c24a467512794617d37fc9a49b60127a9daf
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